Please use this identifier to cite or link to this item:
doi:10.22028/D291-25311
Title: | Dialog act classification with the help of prosody |
Author(s): | Mast, Marion Kompe, Ralf Harbeck, Stefan Kießling, Andreas Niemann, Heinrich Nöth, Elmar |
Language: | English |
Year of Publication: | 1996 |
SWD key words: | Künstliche Intelligenz |
Free key words: | artificial intelligence |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | This paper presents automatic methods for the segmentation and classication of dialog acts (DA). In Verbmobil it is often sufficient to recognize the sequence of DAs occurring during a dialog between the two partners. Since a turn can consist of one or more successive DAs we conduct the classification of DAs in a two step procedure: First each turn has to be segmented into units which correspond to a DA and second the DA categories have to be identified. For the segmentation we use polygrams and multi -layer perceptrons, using prosodic features. The classification of DAs is done with semantic classication trees and polygrams. |
Link to this record: | urn:nbn:de:bsz:291-scidok-53237 hdl:20.500.11880/25367 http://dx.doi.org/10.22028/D291-25311 |
Series name: | Vm-Report / Verbmobil, Verbundvorhaben, [Deutsches Forschungszentrum für Künstliche Intelligenz] |
Series volume: | 130 |
Date of registration: | 13-Jun-2013 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
---|---|---|---|---|
report_130_96.pdf | 194,77 kB | Adobe PDF | View/Open |
Items in SciDok are protected by copyright, with all rights reserved, unless otherwise indicated.